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Admissions 2026
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PEOs and POS

Home Departments Computer Science & Engineering

Program Educational Objectives (PEOs)

PEO 1: Applied Technical Competence

Graduates will possess a strong command of mathematics, science, and information and communication technologies, enabling them to analyze complex technical situations and develop practical solutions. They will be able to bridge theoretical knowledge with hands-on application to effectively address challenges encountered in professional computing and engineering environments. 

PEO 2: Technological Innovation and Professional Adaptability

Graduates will be equipped to create, implement, and manage secure and scalable information technology systems using contemporary tools and methodologies. They will demonstrate initiative, creativity, and adaptability, allowing them to contribute effectively in entrepreneurial ventures or established organizations within a rapidly evolving global technology sector. 

PEO 3: Ethical Leadership and Societal Contribution

Graduates will exhibit professional integrity, ethical responsibility, and the ability to lead and collaborate within multidisciplinary teams. They will engage in continuous personal and professional development and apply their technical expertise in ways that positively impact society and promote responsible technological advancement. 

Programme Outcomes (POs)

Upon completion of the program, graduates will demonstrate the following core competencies in line with global engineering standards:

  • Fundamental Engineering Mastery: Leverage specialized knowledge in mathematics, science, and engineering principles to architect solutions for intricate technical challenges.
  • Analytical Proficiency: Identify and formulate complex problems through rigorous literature review and first principles of science and engineering to reach evidence-based conclusions.
  • Innovative Design and Development: Engineer comprehensive systems and processes that address specific needs while prioritizing public safety, environmental sustainability, and cultural considerations.
  • In-depth Research Investigations: Employ research-driven methodologies, including experimental design and data synthesis, to investigate multifaceted problems and derive valid scientific insights.
  • Modern Technical Arsenal: Strategically select and apply cutting-edge IT tools, modeling software, and advanced techniques, remaining cognizant of their operational limitations.
  • Societal and Professional Responsibility: Apply informed reasoning to evaluate the legal, safety, and cultural impacts of engineering practices within a broader societal context.
  • Ecological Stewardship: Evaluate the environmental footprint of engineering solutions and champion sustainable development practices to ensure long-term global health.
  • Ethical Integrity: Uphold the highest standards of professional ethics, committing to the moral responsibilities and norms of the engineering vocation.
  • Collaborative Leadership: Excel as a dynamic contributor or leader within diverse, multidisciplinary teams to achieve shared project objectives.
  • Articulate Communication: Draft high-quality technical documentation, deliver compelling presentations, and facilitate clear exchanges of information with the global engineering community.
  • Project and Financial Management: Apply managerial principles and financial literacy to navigate multidisciplinary project lifecycles effectively.
  • Continuous Intellectual Growth: Embrace the necessity of lifelong learning to stay agile and proficient amidst the rapid evolution of global technology.

Programme Specific Outcomes (PSOs)

Specifically tailored for the Department of Computer Science and Engineering: 

  • PSO1: Integrated Technology Solutions The ability to model and resolve complex real-world challenges by integrating advanced domains such as AI/ML, Cloud Architecture, DevOps, Software-Defined Networking (SDN), Computer Vision, IoT, and Cybersecurity. 
  • PSO2: Applied Research and Industrial Development The capacity to translate theoretical knowledge from Software Engineering, Algorithmic Analysis, and Database Technologies into high-impact industrial applications and pioneering research initiatives.